Mathematics & Optimization

Multiresolution Matrix Compression AISTATS 2016 Multi-scale Classification using Localized Spatial Depth JMLR 2016 Multi-scale exploration of convex functions and bandit convex optimization COLT 2016 Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization CVPR 2016 Multistage Campaigning in Social Networks NeurIPS 2016 Multivariate Spearman's ρ for Aggregating Ranks Using Copulas JMLR 2016 Multivariate tests of association based on univariate tests NeurIPS 2016 Mutual Information Based Matching for Causal Inference with Observational Data JMLR 2016 Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula NeurIPS 2016 Nearly Isometric Embedding by Relaxation NeurIPS 2016 Near-Optimal Smoothing of Structured Conditional Probability Matrices NeurIPS 2016 Nested Mini-Batch K-Means NeurIPS 2016 New perspective on sampling-based motion planning via random geometric graphs RSS 2016 New Perspectives on k-Support and Cluster Norms JMLR 2016 New Resistance Distances with Global Information on Large Graphs AISTATS 2016 Newton-Stein Method: An Optimization Method for GLMs via Stein's Lemma JMLR 2016 Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling NeurIPS 2016 Noisy Tensor Completion via the Sum-of-Squares Hierarchy COLT 2016 Non-Gaussian Component Analysis with Log-Density Gradient Estimation AISTATS 2016 Nonlinear Statistical Learning with Truncated Gaussian Graphical Models ICML 2016 Nonparametric Budgeted Stochastic Gradient Descent AISTATS 2016 Non-stochastic Best Arm Identification and Hyperparameter Optimization AISTATS 2016 No Oops, You Won’t Do It Again: Mechanisms for Self-correction in Crowdsourcing ICML 2016 No-Regret Algorithms for Heavy-Tailed Linear Bandits ICML 2016 No Regret Bound for Extreme Bandits AISTATS 2016